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9 protocols using plgs software

1

Tryptic Peptide Mapping and Characterization

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The protein sample (100 μg) was reduced and denatured with 1 M DTT and 6 M guanidine-HCl respectively. The denaturation of protein sample was digested with trypsin on a ratio of 1 to 20 (trypsin to protein ratio) for 4 h at 37°C. The obtained peptides were separated using reversed phase chromatography with ACQUITY UPLC system (Waters, UK) equipped with ACQUITY BEH300 C18 column (1.7 μm 2.1 × 150 mm). 10 μl of peptide solutions were injected on the column with 0.2 ml/min flow rate at the temperature of 50°C. Mobile phase A was 0.1% TFA in water and B was 0.1% TFA in ACN with a gradient of 0–50% B in 90 min. The tryptic map was generated by monitoring the absorbance of the effluent with a UV detector at 215 nm. The assignment of each peptide was based on the analysis by an online electrospray ionization mass spectrometry (Q-TOF). MS spectra were obtained with the entire 0.2 ml/min column effluent over a range of 50–3,000 in mass-to-charge ratio with the setting of collision energy at 6 V and cone voltage at 35 V. Calibration of the mass spectrometers with NaCsI was performed and [Glu1]-fibrinopeptide B was used in the lockspray channel. The tryptic peptides were identified using BioPharmaLynx Software (Waters, UK) and the sequences of peptides were determined using PLGS Software (Waters, UK).
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2

Quantitative Proteomic Analysis of Paracoccidioides brasiliensis

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Data processing were performed as previously described (Lima Pde et al. 2015 (link)). In brief, for proteomic analyzes of the data obtained from the LC-MSE, the ProteinLynx Global Server version 3.0.2 (Waters, Manchester, UK) was employed. The processed spectra were searched against P. brasiliensis (Pb18) protein sequences (https://www.uniprot.org/proteomes/). The protein identification criteria also included the detection of at least 2 fragment ions per peptide, 5 fragments per protein and the determination of at least 1 peptide per protein. A protein that showed a variance coefficient of 0.057 and that was detected in all replicates was used to normalize the protein expression levels in the samples (PADG_04570). ExpressionE informatics v.3.0.2 was used for quantitative comparisons. The mathematical model used to calculate the ratios was part of the ExpressionE algorithm inside the PLGS software from the Waters Corporation (Geromanos et al. 2009 (link)). The minimum repeat rate for each protein in all replicates was 2. Protein tables generated by ProteinLynx Global Server were merged, and the dynamic range of the experiment was calculated using the software program MassPivot v1.0.1. The data obtained by NanoUPLC-MSE were subjected to in silico analysis to identify functional classification. For this analysis, it was used FungiDBdatabase (https://fungidb.org/fungidb/).
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3

EPO Peptide Identification via MS/MS

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MS/MS acquisition was performed using the MS/MS full scan mode, adjusting to encompass the entire charge state of interest. A collision-induced dissociation (CID) at the collision cell was used for fragmentation and 25eV of the collision energy was applied to the collision cell. The sequences of peptides were determined using PLGS Software (Waters, UK) by searching against theoretical amino acid sequences of EPO.
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4

Hydrogen-Deuterium Exchange Mass Spectrometry

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Peptides in triplicate undeuterated control samples were identified by a combination of accurate mass and collision-induced dissociation in data-independent acquisition mode (MSE) [44 (link)] aided by PLGS software (Waters). Only peptides identified in at least two replicates were included in the analysis. Mass spectra of undeuterated and deuterated peptides at different time points were extracted and analyzed using DynamX 2.0 (Waters). Relative deuterium levels were calculated by subtracting the centroid of the isotope distribution of the undeuterated peptide from that of deuterated peptides. The deuterium levels were not corrected for back-exchange and are therefore reported as relative [38 (link)]. The fractional relative deuterium uptake was calculated by dividing the relative deuterium uptake of each peptide by its number of backbone amides after subtracting one for the N-terminus and one for each proline residue [35 (link)]. All HDX-MS experiments presented here represent at least two replicates. A 98% confidence interval for the mean relative deuterium uptake of ±0.6 Da was calculated as described [45 (link)] and used as a threshold for significance, i.e. differences larger than 0.6 Da were considered significant at 98% confidence.
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5

Eculizumab Hydrogen/Deuterium Exchange

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Hydrogen/deuterium exchange-MS (H/DX-MS) was initiated by dilution of eculizumab (SB12 and RP) in D2O buffer for 10 s, 1 min, 10 min, 1 h and 4 h. After labeling, the solution was mixed with quenching buffer and injected into the Waters nano LC system. Loaded protein was digested on an immobilized pepsin column (Waters) and the digested peptide fragments was separated on an analytical C18 column (Waters). The analyte was then introduced to MS with MSE mode. Mass spectra were analyzed using PLGS software (Waters) for peptide identification, and DynamX software (Waters) for deuterium uptake calculation and generation of the butterfly plot and uptake plots.
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6

Phage Proteome Identification by Mass Spectrometry

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A total of 100 μL (1 × 1018 PFU/mL) purified phage was diluted with 50 mM NH4HCO3. It was then treated with 100 mM DTT at 95°C for 1 h followed by 250 mM iodoacetamide at room temperature in dark for 45 min. The sample was then digested with Trypsin and incubated overnight at 37°C. The peptides were extracted in 0.1% formic acid and incubated at 37°C for 45 min. The solution thus prepared was centrifuged at 10,000 × g and the supernatant was vacuum dried and dissolved in 20 μL of 0.1% formic acid in water. 10 μL of it was subjected to ACQUITY UPLC BEH C18 column (Waters, United Kingdom) for separation of peptides; the peptides separated on the column were directed to Waters Synapt G2 Q-TOF instrument (Waters, United Kingdom) for MS and MS/MS analysis. The raw data was processed using MassLynx 4.1 WATERS. The individual peptides MS/MS spectra were matched to the database sequence for protein identification on PLGS software, Waters. The obtained spectrometry information was analyzed with PLGS software 3.0.2 (Waters, United Kingdom) using the National Centre for Biotechnology Information (NCBI) non-redundant database and the specific database created in this study based on the predicted CDSs of phage Sfin-1. The important parameter settings for the PLGS analysis were as follows: peptide mass tolerance (ppm), 50; fragment mass tolerance (ppm), 100; maximal missed cleavages, 2.
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7

Comprehensive Peptide Identification Pipeline

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Ten microliters of the cleaned sample was injected onto a BHE C18 UPLC column for separation of peptides (Supplementary Table), followed by analysis on a Waters Synapt G2 Q-TOF instrument for MS and MS/MS with an ESI source. The raw data were analyzed to obtain the complete integrated sequence of the sample by MassLynx 4.1 WATERS, peptide editor software. The individual peptide MSMS spectra were matched to the database sequence with the help of PLGS software, WATERS. The instrument used for acquiring mass spectrometry data was UPLC connected with Waters Synapt G2 (QTOF). The parameters used for identification are already mentioned, such as peptide mass tolerance at the MS1 level of 50 ppm and fragment mass tolerance at the MS2 level of 100 ppm. During the processing of the sample, cysteine sites were modified to carbamidomethylated cysteine, and the methionine sites were prone to oxidation, which was considered a variable modification to the mass (55 (link)–57 (link)). Quantitive details are given in Table S2.
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8

Quantitative Proteomics of Bovine Samples

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Raw data were generated and processed by MassLynx 4.1 (Waters). The individual peptide MS/MS spectra were matched to the UniProt Bos taurus reference proteome database sequence for protein identification on the PLGS software (Waters). The parameters used for the identification are as follows: peptide mass tolerance at the MS1 level, 50 ppm; fragment mass tolerance at the MS2 level, 100 ppm; minimum number of fragment matches for peptides, 2; minimum number of fragment matches for proteins, 5; minimum number of peptide matches for proteins, 1; and missed cleavages, 1. Carbamidomethyl on cysteine as fixed modification and oxidation of methionine and N-terminal acetylation were considered as variable modifications for database search. The score is calculated by the expression analysis extension of the PLGS software based on the relevance of the protein present in both samples being compared. Differentially expressed proteins were identified by calculating the fold change of expression values (log base2) with respect to the control samples. Differentially expressed proteins include the proteins with higher abundance (< −1 fold) and lower abundance (< −1 fold) in the treated sample. The unique proteins mentioned for each control and treated are the proteins that did not have any matching peptides or m/z values between the groups.
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9

Deglycosylation and Mass Spectrometry of BA2

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Deglycosylation of BA2 was performed by trifluoromethanesulfonic acid (TFMS) as described by Edge et al., 2003 [43] . Under this acidic condition, only O-glycosyl bonds are cleaved, while the peptide bonds are protected by the addition of anisole. Accordingly, the linkages between sugars and the core protein via serine, threonine and hydroxyproline are hydrolyzed. Gel bands were washed, destained and tryptically digested as described before [45] (link). Proteins were reduced, alkylated, and tryptically digested in the gel. Peptides were extracted, dried, and redissolved in 10 μL 0.1% formic acid containing 5% acetonitrile. High-definition MS was performed using a Synapt G2 Si ion mobility mass spectrometer coupled to M-Class UPLC (Waters Corp.) with a 30-min gradient (solvent system 100% water vs. 100% acetonitrile, both containing 0.1% formic acid; trap column V/M Symmetry C18 100 Å 5 μm, 180 μm × 20 mm; reversed phase column HSS T3 1.8 μm, 75 μm × 200 mm; and 4.5 μl injection volume). Data were analyzed with PLGS software (Waters Corp.) using the UniProt database for protein identification.
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